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Advances in Distributed Computing and Machine Learning

PAPERBACK, 2026

Advances in Distributed Computing and Machine Learning

Av Alekha Kumar Mishra, Asis Kumar Tripathy, Jyoti Prakash Sahoo, Jitesh Pradhan, Kuan-Ching Li

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Beskrivning
This book is a collection of peer-reviewed best-selected research papers presented at the Seventh International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2026), organized by Department of Computer Science and Engineering, National Institute of Technology, Jamshedpur, India, during January 15–16, 2026. This book presents recent innovations in the field of scalable distributed systems in addition to cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. The work is presented in two volumes.
Produktinformation
  • Utgivningsdatum: 2026-07-17
  • Format: PAPERBACK
  • Antal sidor: 358
  • Förlag: Springer Nature Switzerland AG
  • ISBN: 9783032250797
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